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Signal Amplification in Highly Ordered Networks Is Driven by Geometry

Here, we hypothesize that, in biological systems such as cell surface receptors that relay external signals, clustering leads to substantial improvements in signaling efficiency. Representing cooperative signaling networks as planar graphs and applying Euler’s polyhedron formula, we can show that cl...

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Detalles Bibliográficos
Autores principales: Vanamee, Éva S., Lippner, Gábor, Faustman, Denise L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773832/
https://www.ncbi.nlm.nih.gov/pubmed/35053388
http://dx.doi.org/10.3390/cells11020272
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author Vanamee, Éva S.
Lippner, Gábor
Faustman, Denise L.
author_facet Vanamee, Éva S.
Lippner, Gábor
Faustman, Denise L.
author_sort Vanamee, Éva S.
collection PubMed
description Here, we hypothesize that, in biological systems such as cell surface receptors that relay external signals, clustering leads to substantial improvements in signaling efficiency. Representing cooperative signaling networks as planar graphs and applying Euler’s polyhedron formula, we can show that clustering may result in an up to a 200% boost in signaling amplitude dictated solely by the size and geometry of the network. This is a fundamental relationship that applies to all clustered systems regardless of its components. Nature has figured out a way to maximize the signaling amplitude in receptors that relay weak external signals. In addition, in cell-to-cell interactions, clustering both receptors and ligands may result in maximum efficiency and synchronization. The importance of clustering geometry in signaling efficiency goes beyond biological systems and can inform the design of amplifiers in nonbiological systems.
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spelling pubmed-87738322022-01-21 Signal Amplification in Highly Ordered Networks Is Driven by Geometry Vanamee, Éva S. Lippner, Gábor Faustman, Denise L. Cells Communication Here, we hypothesize that, in biological systems such as cell surface receptors that relay external signals, clustering leads to substantial improvements in signaling efficiency. Representing cooperative signaling networks as planar graphs and applying Euler’s polyhedron formula, we can show that clustering may result in an up to a 200% boost in signaling amplitude dictated solely by the size and geometry of the network. This is a fundamental relationship that applies to all clustered systems regardless of its components. Nature has figured out a way to maximize the signaling amplitude in receptors that relay weak external signals. In addition, in cell-to-cell interactions, clustering both receptors and ligands may result in maximum efficiency and synchronization. The importance of clustering geometry in signaling efficiency goes beyond biological systems and can inform the design of amplifiers in nonbiological systems. MDPI 2022-01-13 /pmc/articles/PMC8773832/ /pubmed/35053388 http://dx.doi.org/10.3390/cells11020272 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Vanamee, Éva S.
Lippner, Gábor
Faustman, Denise L.
Signal Amplification in Highly Ordered Networks Is Driven by Geometry
title Signal Amplification in Highly Ordered Networks Is Driven by Geometry
title_full Signal Amplification in Highly Ordered Networks Is Driven by Geometry
title_fullStr Signal Amplification in Highly Ordered Networks Is Driven by Geometry
title_full_unstemmed Signal Amplification in Highly Ordered Networks Is Driven by Geometry
title_short Signal Amplification in Highly Ordered Networks Is Driven by Geometry
title_sort signal amplification in highly ordered networks is driven by geometry
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773832/
https://www.ncbi.nlm.nih.gov/pubmed/35053388
http://dx.doi.org/10.3390/cells11020272
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